Applied Natural Language Processing Class Project Exhibition
Students from Info 256. Applied Natural Language Processing present their course final projects.
Drop in between 12 and 2 to meet the students, learn about their projects, and ask questions.
This course is taught by professor Marti Hearst and examines the state-of-the-art in applied natural language processing (also known as content analysis and language engineering), with an emphasis on how well existing algorithms perform and how they can be used (or not) in applications. Topics include part-of-speech tagging, shallow parsing, text classification, information extraction, incorporation of lexicons and ontologies into text analysis, and question answering.
Student Projects
A Poetic Hack
Andrea Gagliano
Emily Paul
Byte-ing More Than We Can Chew (Bitcoin)
Richard Lu
Categorizing Characters with NLP
Alex Lin
Emily Scharff
Evan Yao
Coding Interviews
Brian Goodness
Robin Kalia
Emojineering
Daniel Chen
Carlo Liquido
Hadrien Renold
FoodWise: Menu Insights
Brian Carlo
Nico Soldi
How Daters Present Themselves
Matar Haller
Jaya Narasimhan
Juan Shishido
Public Policy Planning
Graham MacDonald
Review Digest
Ankur Kumar
Keshav Polturi
Richa Prajapati
Role(models) in Film
Wenqin Chen
Jordan Shedlock
Wells Fargo Social Media Challenge
Paul Glenn
Vijay Velagapudi
Yelp Elitism
Rachel Lee
Michael Peng
Pratibha Rathore
Yelp Restaurant Recommender
Anubhav Gupta
Chris Little